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Building towards a Software Based Innovation Modelling Tool

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Enterprise and Organizational Modeling and Simulation (EOMAS 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 88))

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Abstract

Management literature is renowned for producing concepts and frameworks but few of these are translated into software-based tools, even when they could be valuable to management. The area of innovation modelling is unfortunately a case in point. Management has heretofore been unable to effectively capture, communicate, and share its innovation models. Owing to the limited cognitive abilities of the human mind and the complexity and ambiguity surrounding innovation in organisations, the role of software-based tools in the future of innovation modelling should not be overlooked. But no standard approach to representing innovation models exists. The objective of this paper is to describe a prototype of an innovation modelling tool that resulted from our 24-month research initiative. We also include descriptions of an ontology upon which the prototype is built and the design science approach through which it emerged.

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Author information

Authors and Affiliations

  1. Business Information Systems, University College Cork, Cork, Ireland

    Paidi O’Raghallaigh, David Sammon & Ciaran Murphy

Authors
  1. Paidi O’Raghallaigh
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  2. David Sammon
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  3. Ciaran Murphy
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Editor information

Editors and Affiliations

  1. Faculty of Technology,, Delft University of Technology, 2628 BX, Delft, The Netherlands

    Joseph Barjis

  2. Business School, Brunel University, UB8 3PH, Uxbridge, Middlesex, UK

    Tillal Eldabi

  3. School of Business, Minnesota State University Moorhead, MN 56563, Moorhead, USA

    Ashish Gupta

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© 2011 Springer-Verlag Berlin Heidelberg

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O’Raghallaigh, P., Sammon, D., Murphy, C. (2011). Building towards a Software Based Innovation Modelling Tool. In: Barjis, J., Eldabi, T., Gupta, A. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2011. Lecture Notes in Business Information Processing, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24175-8_14

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  • DOI: https://doi.org/10.1007/978-3-642-24175-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24174-1

  • Online ISBN: 978-3-642-24175-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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